Literature DB >> 21136739

Proteomic analysis of human reproductive fluids.

Aggeliki Kolialexi1, Ariadni Mavrou, George Th Tsangaris.   

Abstract

Fertilization, fetal development, and delivery depend upon a coordinated series of events in the oocyte, the embryo, and the supporting tissues and fluids. Proteomic techniques which are capable of identifying and characterizing multiple proteins simultaneously have added new dimensions to the field of human reproduction. Application of these high throughput methodologies in pregnancy-related research has begun to provide a novel perspective on the biochemical pathways involved in pregnancy and its related disorders. Most of the existing research on human reproduction and gestation has focused on follicular fluid (FF) and amniotic fluid (AF). Proteome analysis of FF has yielded significant information relevant to oocyte maturation and quality. Studies performed on the protein content of AF cells and supernatant contributed to the comprehension of the underlying pathophysiology, clinical diagnosis of pregnancy-related disorders and identification of relevant disease biomarkers. Although proteome technologies in reproduction research are not as yet widely applied, characterization of the proteome of reproductive fluids can be expected to significantly improve maternal healthcare in the future.
Copyright © 2007 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2007        PMID: 21136739     DOI: 10.1002/prca.200700040

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  2 in total

1.  IgGFc-binding protein in pregnancies complicated by spontaneous preterm delivery: a retrospective cohort study.

Authors:  Jaroslav Stranik; Marian Kacerovsky; Ondrej Soucek; Martina Kolackova; Ivana Musilova; Lenka Pliskova; Radka Bolehovska; Pavel Bostik; Jana Matulova; Bo Jacobsson; Ctirad Andrys
Journal:  Sci Rep       Date:  2021-03-17       Impact factor: 4.379

2.  An integrated approach based on multiplexed protein array and iTRAQ labeling for in-depth identification of pathways associated to IVF outcome.

Authors:  Valeria Severino; Livia Malorni; Anna Emilia Cicatiello; Vittoria D'Esposito; Salvatore Longobardi; Nicola Colacurci; Nadia Miraglia; Nicola Sannolo; Annarita Farina; Angela Chambery
Journal:  PLoS One       Date:  2013-10-16       Impact factor: 3.240

  2 in total

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